• K.Sumathi

Mobile Ad Hoc Networks (MANETs) face significant challenges in achieving Quality of Service (QoS) in routing due to their dynamic and decentralized nature. This paper proposes a novel approach to enhance QoS-based routing in MANETs by introducing a hybrid optimization algorithm that combines the strengths of Greywolf Optimization and Ant Colony Optimization. The hybrid algorithm is designed to address the limitations of existing algorithms, including Artificial Bee Colony, Ant Colony Optimization, and Greywolf Optimization. Through comprehensive simulations and performance evaluations, this research analyze the effectiveness of the proposed hybrid algorithm in improving QoS metrics compared to traditional and state-of-the-art routing algorithms. The results indicate promising enhancements in terms of reliability, latency, and throughput, highlighting the potential of the hybrid approach for robust QoS-aware routing in MANETs.

Mobile Ad Hoc Networks, Quality of Service, QoS-Based Routing, Greywolf Optimization Algorithm, Ant Colony Optimization Algorithm, Artificial Bee Colony Algorithm

"ENHANCING QOS-BASED ROUTING IN MANETS THROUGH HYBRIDIZATION OF GREYWOLF OPTIMIZATION AND ANT COLONY OPTIMIZATION ALGORITHMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 1, page no.d779-d785, January-2024, Available :http://www.jetir.org/papers/JETIR2401395.pdf

"ENHANCING QOS-BASED ROUTING IN MANETS THROUGH HYBRIDIZATION OF GREYWOLF OPTIMIZATION AND ANT COLONY OPTIMIZATION ALGORITHMS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 1, page no. ppd779-d785, January-2024, Available at : http://www.jetir.org/papers/JETIR2401395.pdf